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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
$179,000 - $294,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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Scientific Visualization: Work closely with data scientists to create interactive visualizations that illuminate complex omics data sets. Translate Designs to Code: Meticulously implement user interface designs using modern front-end frameworks and web technologies (HTML, CSS, JavaScript, Vue.js, React, and Angular.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) Work on all parts of Asana’s in-house experimentation platform, from the statistical backend (Apache Spark / Scala) to the user interface (React / Typescript.
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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing full-stack applications using Python (Django) and Javascript (React). Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. Developing full-stack applications using Python (Django) and Javascript (React.
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Net and/or JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, Visual Studio etc. Net, Java, Spring or cloud technologies Exposure of data management methodologies Experience with serverless architectures and computing Preferably 2+ UI/UX development & design systems: CSS, Web Components, Less, Sass Preferably 1+ experience with Appian COMPENSATION Starting base salary: $101,231 - $172,355 per year.
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Develop, scale, and improve in-house/cloud and open-source big data systems for query engine, storage, or resource management (e.g. Hive, Spark, Flink, Presto, HDFS, HBase, Yarn, Kubernetes, EMR, EKS, etc.
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Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services Bonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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1- 3-years minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
$55 - $78 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data visualization tools such as Tableau, Microsoft Power BI, or similar platforms. Your expertise in utilizing Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders.
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Demonstrable R programming and data visualization skills. Advanced R programming and data visualization skills. The position also will be responsible for developing testable research hypotheses, collecting empirical data, designing modeling experiments, analyzing research results, writing and communicating research findings to professional and scholarly audiences, and supervising research other research staff, including research assistants, post-docs, and other research staff.
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